Vaccination for seasonal flu, pneumococcal infection, and SARS-CoV-2 in patients with solid tumors: recommendations of the Associazione Italiana di Oncologia Medica (AIOM)

Patients with cancer have a well-known and higher risk of vaccine-preventable diseases (VPDs). VPDs may cause severe complications in this setting due to the immune system impairment, malnutrition and oncological treatments. Despite this evidence, vaccination rates are inadequate. The Italian Association of Medical Oncology (AIOM) has been involved in vaccination awareness since 2014. Based on a careful review of the available data about the immunogenicity, effectiveness and safety of flu, pneumococcal and anti-SARS-CoV-2 vaccines, we report the recommendations of the Associazione Italiana di Oncologia Medica about these vaccinations in adult patients with solid tumors. AIOM recommends comprehensive education on the issue of VPDs. We believe that a multidisciplinary care model may improve the vaccination coverage in immunocompromised patients. Continued surveillance, implementation of preventive practices and future well-designed immunological prospective studies are essential for a better management of our patients with cancer.

Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome.

PURPOSE: To evaluate the prognostic role of chest computed tomography (CT), alone or in combination with clinical and laboratory parameters, in COVID-19 patients during the first peak of the pandemic. METHODS: A retrospective single-center study of 301 COVID-19 patients referred to our Emergency Department (ED) from February 25 to March 29, 2020. At presentation, patients underwent chest CT and clinical and laboratory examinations. Outcomes included discharge from the ED after improvement/recovery (positive outcome), or admission to the intensive care unit or death (poor prognosis). A visual quantitative analysis was formed using two scores: the Pulmonary Involvement (PI) score based on the extension of lung involvement, and the Pulmonary Consolidation (PC) score based on lung consolidation. The prognostic value of CT alone or integrated with other parameters was studied by logistic regression and ROC analysis. RESULTS: The impact of the CT PI score [≥15 vs. ≤ 6] on predicting poor prognosis (OR 5.71 95 % CI 1.93-16.92, P = 0.002) was demonstrated; no significant association was found for the PC score. Chest CT had a prognostic role considering the PI score alone (AUC 0.722) and when evaluated with demographic characteristics, comorbidities, and laboratory data (AUC 0.841). We, therefore, developed a nomogram as an easy tool for immediate clinical application. CONCLUSIONS: Visual analysis of CT gives useful information to physicians for prognostic evaluations, even in conditions of COVID-19 emergency. The predictive value is increased by evaluating CT in combination with clinical and laboratory data.

Factors Affecting Mortality in 1022 COVID-19 Patients Referred to an Emergency Department in Bergamo during the Peak of the Pandemic.

The unexpected outbreak of COVID-19 in the area of Bergamo and the general crisis of personnel and devices has been managed as well as possible during the maximum peak of epidemic; Humanitas Gavazzeni Hospital implemented its facilities and organization in order to optimize the treatment of patients. The number of beds in the Intensive Care Unit (ICU) was doubled (from 16 to 33), and more than 220 beds were dedicated to the COVID-19 patients. This paper analyzes the factors affecting mortality in 1022 COVID-19 patients who referred to Humanitas Gavazzeni between February 25 and March 26, 2020. A total of 274 (34.9%) fatal events were registered: 202 among those admitted to the Intensive Care Unit (ICU) and COVID department and 72 among those treated in Acute Admission Unit Level II (AAUl-2) who died before hospital admission. This paper studies 274 dead cases by analyzing patient's characteristics, physiological and laboratory parameters, symptoms, and the scores of severity of the disease. Patients who had fatal events in the AAUL-2 showed the worst parameters of risk. The most important differences regarded the Apache II score, Glasgow Coma Score (GCS), CRP (C-reactive protein), pH, creatinine, RR (respiratory rate), and asthenia.